In [12]:
print ('y x1 x2 x3 x4 x5 x6 x7')
from sklearn import linear_model
clf = linear_model.LinearRegression()
clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in data],
[t.y for t in texts])
y x1 x2 x3 x4 x5 x6 x7
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-12-841deb394fa4> in <module>()
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in data],
5 [t.y for t in texts])
<ipython-input-12-841deb394fa4> in <listcomp>(.0)
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in data],
5 [t.y for t in texts])
<ipython-input-12-841deb394fa4> in <listcomp>(.0)
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in data],
5 [t.y for t in texts])
AttributeError: 'numpy.ndarray' object has no attribute 'x1'
In [22]:
import csv as csv
from sklearn import linear_model
clf = linear_model.LinearRegression()
clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in df],
[t.y for t in df])
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-32f8012caa94> in <module>()
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in df],
5 [t.y for t in df])
<ipython-input-22-32f8012caa94> in <listcomp>(.0)
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in df],
5 [t.y for t in df])
<ipython-input-22-32f8012caa94> in <listcomp>(.0)
2 from sklearn import linear_model
3 clf = linear_model.LinearRegression()
----> 4 clf.fit([[getattr(t, 'x%d' % i) for i in range(1, 8)] for t in df],
5 [t.y for t in df])
AttributeError: 'str' object has no attribute 'x1'
In [50]:
import pandas as pd
df = pd.read_csv("texts.csv")
df.iloc[:,1:3]
Out[50]:
x1
x2
0
-4.95
-5.87
1
-4.55
-4.52
2
-10.96
-11.64
3
-1.08
-3.36
4
-6.52
-7.45
5
-0.81
-2.36
6
-7.01
-7.33
7
-4.46
-7.65
8
-11.54
-10.03
In [56]:
import pandas as pd
df = pd.read_csv("texts.csv")
#df=df.transpose
#data=df.values
df
res = ols(df)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-56-bb81afc1da1d> in <module>()
5 #data=df.values
6 df
----> 7 res = ols(df)
TypeError: ols() takes 0 positional arguments but 1 was given
In [55]:
help(ols)
Help on function ols in module pandas.stats.interface:
ols(**kwargs)
Returns the appropriate OLS object depending on whether you need
simple or panel OLS, and a full-sample or rolling/expanding OLS.
Will be a normal linear regression or a (pooled) panel regression depending
on the type of the inputs:
y : Series, x : DataFrame -> OLS
y : Series, x : dict of DataFrame -> OLS
y : DataFrame, x : DataFrame -> PanelOLS
y : DataFrame, x : dict of DataFrame/Panel -> PanelOLS
y : Series with MultiIndex, x : Panel/DataFrame + MultiIndex -> PanelOLS
Parameters
----------
y: Series or DataFrame
See above for types
x: Series, DataFrame, dict of Series, dict of DataFrame, Panel
weights : Series or ndarray
The weights are presumed to be (proportional to) the inverse of the
variance of the observations. That is, if the variables are to be
transformed by 1/sqrt(W) you must supply weights = 1/W
intercept: bool
True if you want an intercept. Defaults to True.
nw_lags: None or int
Number of Newey-West lags. Defaults to None.
nw_overlap: bool
Whether there are overlaps in the NW lags. Defaults to False.
window_type: {'full sample', 'rolling', 'expanding'}
'full sample' by default
window: int
size of window (for rolling/expanding OLS). If window passed and no
explicit window_type, 'rolling" will be used as the window_type
Panel OLS options:
pool: bool
Whether to run pooled panel regression. Defaults to true.
entity_effects: bool
Whether to account for entity fixed effects. Defaults to false.
time_effects: bool
Whether to account for time fixed effects. Defaults to false.
x_effects: list
List of x's to account for fixed effects. Defaults to none.
dropped_dummies: dict
Key is the name of the variable for the fixed effect.
Value is the value of that variable for which we drop the dummy.
For entity fixed effects, key equals 'entity'.
By default, the first dummy is dropped if no dummy is specified.
cluster: {'time', 'entity'}
cluster variances
Examples
--------
# Run simple OLS.
result = ols(y=y, x=x)
# Run rolling simple OLS with window of size 10.
result = ols(y=y, x=x, window_type='rolling', window=10)
print(result.beta)
result = ols(y=y, x=x, nw_lags=1)
# Set up LHS and RHS for data across all items
y = A
x = {'B' : B, 'C' : C}
# Run panel OLS.
result = ols(y=y, x=x)
# Run expanding panel OLS with window 10 and entity clustering.
result = ols(y=y, x=x, cluster='entity', window_type='expanding', window=10)
Returns
-------
The appropriate OLS object, which allows you to obtain betas and various
statistics, such as std err, t-stat, etc.
In [3]:
import statsmodels as sm
sm.ols
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-3-05852d147cbe> in <module>()
1 import statsmodels as sm
----> 2 sm.ols
AttributeError: 'module' object has no attribute 'ols'
In [6]:
%%bash
pip install patsy
Collecting patsy
Downloading patsy-0.4.1-py2.py3-none-any.whl (233kB)
Requirement already satisfied: numpy in /Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages (from patsy)
Requirement already satisfied: six in /Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages (from patsy)
Installing collected packages: patsy
Successfully installed patsy-0.4.1
In [8]:
import pandas as pd
from pandas.stats.api import ols
df = pd.DataFrame({"A": [10,20,30,40,50], "B": [20, 30, 10, 40, 50], "C": [32, 234, 23, 23, 42523]})
res = ols(y=df['A'], x=df[['B','C']])
res
C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py:2881: FutureWarning: The pandas.stats.ols module is deprecated and will be removed in a future version. We refer to external packages like statsmodels, see some examples here: http://www.statsmodels.org/stable/regression.html
exec(code_obj, self.user_global_ns, self.user_ns)
Out[8]:
-------------------------Summary of Regression Analysis-------------------------
Formula: Y ~ <B> + <C> + <intercept>
Number of Observations: 5
Number of Degrees of Freedom: 3
R-squared: 0.5789
Adj R-squared: 0.1577
Rmse: 14.5108
F-stat (2, 2): 1.3746, p-value: 0.4211
Degrees of Freedom: model 2, resid 2
-----------------------Summary of Estimated Coefficients------------------------
Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5%
--------------------------------------------------------------------------------
B 0.4012 0.6497 0.62 0.5999 -0.8723 1.6746
C 0.0004 0.0005 0.65 0.5826 -0.0007 0.0014
intercept 14.9525 17.7643 0.84 0.4886 -19.8655 49.7705
---------------------------------End of Summary---------------------------------
In [1]:
rank=[x for x in data['rank'] if x <1E100]
level=[[2*x,x+10] for x in data['rank'] if x <1E100]
rankdataB=[x+20 for x in data['rank'] if x <1E100]
rankdataC=[3*x+20 for x in data['rank'] if x <1E100]
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-1-ee2d096e6dc8> in <module>()
----> 1 output=[x for x in data['rank'] if x <1E100]
2 rankdataA=[[2*x,x+10] for x in data['rank'] if x <1E100]
3 rankdataB=[x+20 for x in data['rank'] if x <1E100]
4 rankdataC=[3*x+20 for x in data['rank'] if x <1E100]
NameError: name 'data' is not defined
$\mbox{rank} = \mbox{const}+ B\times \mbox{hoursplayed} + C \times \mbox{wins}$
In [1]:
import pandas as pd
import numpy as np
import statsmodels.api as sm
data = pd.read_json("Overwatch090317.json")
In [42]:
rank=[x for x in data['rank']]
level=[x for x in data['level']]
wins=[x for x in data.get('comp', {})]
# winsdata=[x for x in wins.index[x]]
# wins=[x for x in data['comp'] if x <1E100]
a=wins[0]
b=a.get('total',{})
b.get('wins',{})
def getWins(x):
b=x.get('total',{})
return(b.get('wins',{}))
winsExtracted =[getWins(x) for x in wins]
In [15]:
#[x for x in rank if x <1e100]
def filterNaN(x):
if x<1e100:
return(x)
else:
return(0)#0 ->treat NaN as no rank
rankFiltered=[filterNaN(x) for x in rank ]
levelFiltered= [filterNaN(x) for x in level]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-15-a472e19de591> in <module>()
7 rankFiltered=[filterNaN(x) for x in rank ]
8 levelFiltered= [filterNaN(x) for x in level]
----> 9 winFiltered= [filterNaN(x) for x in wins]
<ipython-input-15-a472e19de591> in <listcomp>(.0)
7 rankFiltered=[filterNaN(x) for x in rank ]
8 levelFiltered= [filterNaN(x) for x in level]
----> 9 winFiltered= [filterNaN(x) for x in wins]
<ipython-input-15-a472e19de591> in filterNaN(x)
1 #[x for x in rank if x <1e100]
2 def filterNaN(x):
----> 3 if x<1e100:
4 return(x)
5 else:
TypeError: '<' not supported between instances of 'dict' and 'float'
In [14]:
from pandas.stats.api import ols
df = pd.DataFrame({"A": rankFiltered, "B": level, "C":wins})
res = ols(y=df['A'], x=df[['B','C']])
res
C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py:2881: FutureWarning: The pandas.stats.ols module is deprecated and will be removed in a future version. We refer to external packages like statsmodels, see some examples here: http://www.statsmodels.org/stable/regression.html
exec(code_obj, self.user_global_ns, self.user_ns)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-14-8d56d5b4e794> in <module>()
1 from pandas.stats.api import ols
2 df = pd.DataFrame({"A": rankFiltered, "B": level, "C":wins})
----> 3 res = ols(y=df['A'], x=df[['B','C']])
4 res
C:\ProgramData\Anaconda3\lib\site-packages\pandas\stats\interface.py in ols(**kwargs)
141 klass = MovingOLS
142
--> 143 return klass(**kwargs)
C:\ProgramData\Anaconda3\lib\site-packages\pandas\stats\ols.py in __init__(self, y, x, intercept, weights, nw_lags, nw_overlap)
81 self._y_trans = self._y
82 self.sm_ols = sm.OLS(self._y.get_values(),
---> 83 self._x.get_values()).fit()
84
85 def _prepare_data(self):
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\regression\linear_model.py in __init__(self, endog, exog, missing, hasconst, **kwargs)
689 **kwargs):
690 super(OLS, self).__init__(endog, exog, missing=missing,
--> 691 hasconst=hasconst, **kwargs)
692 if "weights" in self._init_keys:
693 self._init_keys.remove("weights")
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\regression\linear_model.py in __init__(self, endog, exog, weights, missing, hasconst, **kwargs)
584 weights = weights.squeeze()
585 super(WLS, self).__init__(endog, exog, missing=missing,
--> 586 weights=weights, hasconst=hasconst, **kwargs)
587 nobs = self.exog.shape[0]
588 weights = self.weights
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\regression\linear_model.py in __init__(self, endog, exog, **kwargs)
89 """
90 def __init__(self, endog, exog, **kwargs):
---> 91 super(RegressionModel, self).__init__(endog, exog, **kwargs)
92 self._data_attr.extend(['pinv_wexog', 'wendog', 'wexog', 'weights'])
93
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\model.py in __init__(self, endog, exog, **kwargs)
184
185 def __init__(self, endog, exog=None, **kwargs):
--> 186 super(LikelihoodModel, self).__init__(endog, exog, **kwargs)
187 self.initialize()
188
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\model.py in __init__(self, endog, exog, **kwargs)
58 hasconst = kwargs.pop('hasconst', None)
59 self.data = self._handle_data(endog, exog, missing, hasconst,
---> 60 **kwargs)
61 self.k_constant = self.data.k_constant
62 self.exog = self.data.exog
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\model.py in _handle_data(self, endog, exog, missing, hasconst, **kwargs)
82
83 def _handle_data(self, endog, exog, missing, hasconst, **kwargs):
---> 84 data = handle_data(endog, exog, missing, hasconst, **kwargs)
85 # kwargs arrays could have changed, easier to just attach here
86 for key in kwargs:
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\data.py in handle_data(endog, exog, missing, hasconst, **kwargs)
564 klass = handle_data_class_factory(endog, exog)
565 return klass(endog, exog=exog, missing=missing, hasconst=hasconst,
--> 566 **kwargs)
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\data.py in __init__(self, endog, exog, missing, hasconst, **kwargs)
73
74 # this has side-effects, attaches k_constant and const_idx
---> 75 self._handle_constant(hasconst)
76 self._check_integrity()
77 self._cache = resettable_cache()
C:\ProgramData\Anaconda3\lib\site-packages\statsmodels\base\data.py in _handle_constant(self, hasconst)
91 # detect where the constant is
92 check_implicit = False
---> 93 const_idx = np.where(self.exog.ptp(axis=0) == 0)[0].squeeze()
94 self.k_constant = const_idx.size
95
TypeError: '>=' not supported between instances of 'dict' and 'dict'
In [22]:
data.to_xarray()
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-22-5e669ad3fc66> in <module>()
----> 1 data.to_xarray()
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py in to_xarray(self)
1323 See the `xarray docs <http://xarray.pydata.org/en/stable/>`__
1324 """
-> 1325 import xarray
1326 if self.ndim == 1:
1327 return xarray.DataArray.from_series(self)
ModuleNotFoundError: No module named 'xarray'
In [124]:
rankdata=[x for x in data['rank'] if x <1E100] # is x < 'infinity'
In [125]:
import matplotlib.pyplot as plt
In [129]:
%matplotlib inline
plt.plot(rankdata)
plt.show()
In [46]:
compdata=data['comp']
In [47]:
compdata.as_matrix()
Out[47]:
array([ {'total': {'defAssists': 39, 'rate': 62, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 25, 'rate': 30, 'medals': 58, 'offAssists': 11, 'bronze': 16, 'objTime': 0.402499999999999, 'healing': 49134, 'loss': 14, 'games': 20, 'onFire': 0.688333333333333, 'kpd': 2.23, 'multikills': 7, 'timePlayed': 4, 'silver': 21, 'melee': 3, 'soloKills': 56, 'objKills': 181, 'wins': 6, 'elims': 464, 'cards': 4, 'damageDone': 251250, 'gold': 21, 'deaths': 208, 'multikillBest': 3, 'finalBlows': 271, 'envDeaths': 4}, 'most': {'defAssists': 21, 'healing': 13247, 'damageDone': 22542, 'soloKills': 32, 'offAssists': 6, 'objKills': 21, 'elims': 51, 'onFire': 0.12583333333333302, 'finalBlows': 32, 'objTime': 0.038055555555555}, 'average': {'healing': 2457, 'deaths': 10.4, 'soloKills': 2.8, 'objKills': 9.05, 'damageDone': 12563, 'elims': 23.2, 'melee': 0.15, 'finalBlows': 13.55, 'objTime': 0.02, 'onFire': 0.034166666666666005}},
{'total': {'defAssists': 28, 'rate': 40, 'medals': 8, 'offAssists': 11, 'bronze': 4, 'objTime': 0.06027777777777701, 'timePlayed': 0.7833333333333331, 'loss': 3, 'games': 5, 'onFire': 0.023333333333333, 'kpd': 1.69, 'healing': 23783, 'silver': 3, 'deaths': 35, 'objKills': 23, 'wins': 2, 'elims': 59, 'damageDone': 24659, 'gold': 1, 'multikillBest': 3, 'finalBlows': 15, 'envDeaths': 2}, 'most': {'defAssists': 17, 'healing': 9785, 'damageDone': 15534, 'soloKills': 8, 'offAssists': 10, 'objKills': 10, 'elims': 21, 'onFire': 0.008611111111111, 'finalBlows': 8, 'objTime': 0.020555555555555}, 'average': {'healing': 4757, 'deaths': 6.99, 'objKills': 4.59, 'damageDone': 4932, 'elims': 11.79, 'melee': 0.19, 'finalBlows': 2.99, 'objTime': 0.011944444444444001, 'onFire': 0.004444444444444}},
{'total': {'defAssists': 377, 'rate': 50, 'medals': 158, 'offAssists': 221, 'bronze': 45, 'finalBlows': 780, 'objTime': 1.589999999999999, 'healing': 321678, 'loss': 30, 'games': 66, 'onFire': 1.820555555555555, 'kpd': 2.35, 'multikills': 16, 'timePlayed': 15, 'silver': 47, 'melee': 17, 'soloKills': 166, 'objKills': 695, 'envKills': 3, 'wins': 31, 'elims': 1624, 'cards': 26, 'damageDone': 848937, 'gold': 66, 'deaths': 691, 'multikillBest': 4, 'recAssists': 20, 'envDeaths': 7}, 'most': {'defAssists': 47, 'healing': 28341, 'damageDone': 33736, 'onFire': 0.142222222222222, 'soloKills': 27, 'offAssists': 20, 'objKills': 34, 'elims': 62, 'melee': 3, 'finalBlows': 27, 'objTime': 0.103888888888888}, 'average': {'healing': 4874, 'deaths': 10.46, 'soloKills': 2.51, 'objKills': 10.53, 'damageDone': 12863, 'elims': 24.6, 'melee': 0.25, 'finalBlows': 11.81, 'objTime': 0.023888888888888002, 'onFire': 0.0275}},
{'total': {'defAssists': 4, 'timePlayed': 0.65, 'rate': 0, 'deaths': 40, 'medals': 4, 'bronze': 2, 'objKills': 14, 'wins': 0, 'elims': 32, 'objTime': 0.038611111111111006, 'healing': 3989, 'loss': 3, 'kpd': 0.8, 'silver': 2, 'damageDone': 21660, 'soloKills': 9, 'games': 3, 'onFire': 0.016666666666666, 'finalBlows': 14}, 'most': {'defAssists': 4, 'healing': 3487, 'soloKills': 10, 'damageDone': 13700, 'objKills': 9, 'elims': 19, 'onFire': 0.016666666666666, 'finalBlows': 10, 'objTime': 0.029166666666666}, 'average': {'healing': 1330, 'defAssists': 1, 'onFire': 0.005555555555555001, 'soloKills': 3, 'objKills': 4.66, 'damageDone': 7220, 'elims': 10.66, 'deaths': 13.33, 'finalBlows': 4.66, 'objTime': 0.012777777777777001}},
{'total': {'timePlayed': 1, 'rate': 75, 'deaths': 57, 'medals': 12, 'bronze': 7, 'objKills': 56, 'wins': 3, 'elims': 122, 'silver': 4, 'objTime': 0.16472222222222202, 'healing': 11760, 'loss': 1, 'kpd': 2.14, 'damageDone': 61743, 'gold': 1, 'soloKills': 8, 'games': 4, 'onFire': 0.066666666666666, 'finalBlows': 58, 'envDeaths': 3}, 'most': {'healing': 4747, 'soloKills': 22, 'damageDone': 20051, 'objKills': 17, 'finalBlows': 22, 'onFire': 0.025, 'elims': 36, 'objTime': 0.06361111111111101}, 'average': {'healing': 2940, 'onFire': 0.016666666666666, 'soloKills': 2, 'objKills': 14, 'damageDone': 15436, 'elims': 30.5, 'deaths': 14.25, 'finalBlows': 14.5, 'objTime': 0.041111111111111}},
{'total': {'defAssists': 112, 'rate': 38, 'medals': 39, 'offAssists': 9, 'bronze': 9, 'objTime': 0.35972222222222205, 'healing': 106078, 'loss': 8, 'games': 13, 'onFire': 0.355833333333333, 'kpd': 2.31, 'multikills': 3, 'timePlayed': 2, 'silver': 10, 'deaths': 121, 'soloKills': 30, 'objKills': 139, 'envKills': 6, 'wins': 5, 'elims': 280, 'cards': 8, 'damageDone': 120896, 'gold': 20, 'multikillBest': 3, 'finalBlows': 106}, 'most': {'defAssists': 27, 'healing': 19311, 'damageDone': 22843, 'soloKills': 24, 'offAssists': 3, 'objKills': 31, 'elims': 54, 'onFire': 0.102222222222222, 'finalBlows': 24, 'objTime': 0.062777777777777}, 'average': {'defAssists': 9, 'melee': 0.07, 'soloKills': 2.3, 'offAssists': 1, 'objKills': 10.69, 'elims': 21.53, 'objTime': 0.0275, 'onFire': 0.027222222222222002, 'healing': 8160, 'damageDone': 9300, 'deaths': 9.3, 'finalBlows': 8.15}},
{'total': {'defAssists': 22, 'rate': 62, 'medals': 26, 'offAssists': 19, 'bronze': 8, 'objTime': 0.191944444444444, 'timePlayed': 2, 'loss': 3, 'games': 10, 'onFire': 0.19333333333333302, 'kpd': 1.6600000000000001, 'healing': 20955, 'silver': 10, 'melee': 2, 'soloKills': 33, 'objKills': 93, 'wins': 5, 'elims': 228, 'cards': 2, 'damageDone': 110166, 'gold': 8, 'deaths': 137, 'multikillBest': 3, 'finalBlows': 118, 'envDeaths': 3}, 'most': {'defAssists': 9, 'healing': 7470, 'damageDone': 23644, 'soloKills': 25, 'offAssists': 7, 'objKills': 16, 'elims': 35, 'onFire': 0.05, 'finalBlows': 25, 'objTime': 0.028055555555555}, 'average': {'healing': 2095, 'deaths': 13.69, 'soloKills': 3.29, 'objKills': 9.29, 'damageDone': 11017, 'elims': 22.79, 'melee': 0.19, 'finalBlows': 11.79, 'objTime': 0.019166666666666003, 'onFire': 0.019166666666666003}},
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{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
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{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 90, 'rate': 50, 'medals': 54, 'offAssists': 58, 'bronze': 14, 'objTime': 0.521944444444444, 'healing': 83797, 'loss': 10, 'games': 22, 'onFire': 0.512222222222222, 'kpd': 1.72, 'multikills': 5, 'timePlayed': 5, 'silver': 21, 'melee': 4, 'soloKills': 38, 'objKills': 231, 'envKills': 4, 'wins': 10, 'elims': 458, 'cards': 7, 'damageDone': 231508, 'gold': 19, 'deaths': 267, 'multikillBest': 4, 'finalBlows': 185, 'envDeaths': 6}, 'most': {'defAssists': 21, 'healing': 13146, 'damageDone': 28723, 'onFire': 0.08555555555555501, 'soloKills': 29, 'offAssists': 17, 'objKills': 24, 'elims': 46, 'melee': 2, 'finalBlows': 29, 'objTime': 0.056666666666666005}, 'average': {'healing': 3809, 'deaths': 12.13, 'soloKills': 1.72, 'objKills': 10.5, 'damageDone': 10523, 'elims': 20.81, 'melee': 0.18, 'finalBlows': 8.4, 'objTime': 0.023611111111111003, 'onFire': 0.023055555555555003}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}},
{'total': {'defAssists': 39, 'rate': 62.07, 'medals': 106, 'offAssists': 22, 'bronze': 34, 'objTime': 0.7455555555555551, 'healing': 78945, 'loss': 11, 'games': 29, 'onFire': 1.191666666666666, 'kpd': 3.03, 'multikills': 9, 'timePlayed': 7, 'silver': 33, 'melee': 10, 'soloKills': 122, 'objKills': 417, 'envKills': 9, 'wins': 18, 'elims': 939, 'cards': 12, 'damageDone': 468463, 'gold': 39, 'deaths': 310, 'multikillBest': 4, 'finalBlows': 481, 'envDeaths': 2}, 'most': {'defAssists': 14, 'healing': 16985, 'damageDone': 33724, 'onFire': 0.13277777777777702, 'soloKills': 38, 'offAssists': 13, 'objKills': 33, 'elims': 67, 'melee': 3, 'finalBlows': 38, 'objTime': 0.054722222222222006}, 'average': {'healing': 2722, 'deaths': 10.68, 'soloKills': 4.2, 'objKills': 14.37, 'damageDone': 16154, 'elims': 32.37, 'melee': 0.34, 'finalBlows': 16.58, 'objTime': 0.025555555555555002, 'onFire': 0.040833333333333006}}], dtype=object)
Content source: DylanGification/PhleepGG
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