[英]Create Altair Chart of Value Counts of Multiple Columns
Using Altair charting, how can I create a chart of value_counts() of multiple columns?使用 Altair 图表,如何创建多列的 value_counts() 图表? This is easily done by matplotlib. How can the identical chart be created using Altair? matplotlib 很容易做到这一点。如何使用 Altair 创建相同的图表?
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame({'Col1':[0,1,2,3],
'Col2':[0,1,2,2],
'Col3':[2,3,3,3]})
pd.DataFrame({col:df[col].value_counts(normalize=True) for col in df}).plot(kind='bar')
You could do this:你可以这样做:
import pandas as pd
import altair as alt
df = pd.DataFrame({
'Col1':[0,1,2,3],
'Col2':[0,1,2,2],
'Col3':[2,3,3,3]
}).melt(var_name='column')
alt.Chart(df).mark_bar().encode(
x='column',
y='count()',
column='value:O',
color='column'
)
In the next major release of Altair you can use the offset channels instead of faceting as in this example.在 Altair 的下一个主要版本中,您可以使用偏移通道,而不是像本示例中那样进行分面。
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