In [38]:
from ipywidgets import FloatSlider, IntSlider, Image
import ipysheet
In [39]:
sheet = ipysheet.sheet(rows=3, columns=4)
cell1 = ipysheet.cell(0, 0, 'Hello')
cell2 = ipysheet.cell(2, 0, 'World')
cell_value = ipysheet.cell(2,2, 42.)
sheet
In [40]:
import numpy as np
import pandas as pd
from ipysheet import from_dataframe
from ipywidgets import Text, VBox, link
df = pd.DataFrame({'A': 1.,
'B': pd.Timestamp('20130102'),
'C': pd.Series(1, index=list(range(4)), dtype='float32'),
'D': np.array([False, True, False, False], dtype='bool'),
'E': pd.Categorical(["test", "train", "test", "train"]),
'F': 'foo'})
df.loc[[0, 2], ['B']] = np.nan
sheet2 = from_dataframe(df)
search_box = Text(description='Search:')
link((search_box, 'value'), (sheet2, 'search_token'))
In [41]:
search_box
In [42]:
sheet2
In [51]:
from ipywidgets import FloatSlider, IntSlider, Image, IntText, link
import ipysheet
slider = IntSlider(description="Continuous", continuous_update=True)
textbox = IntText(description="Continuous", continuous_update=True)
link((slider, 'value'), (textbox, 'value'))
In [52]:
slider
In [53]:
textbox
In [57]:
sheet = ipysheet.sheet()
cell1 = ipysheet.cell(0, 0, slider, style={'min-width': '150px'})
cell3 = ipysheet.cell(2, 2, 50.)
cell_sum = ipysheet.cell(3, 2, 50.)
@ipysheet.calculation(inputs=[(cell1, 'value'), cell3], output=cell_sum)
def calculate(a, b):
return a + b
sheet
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