Python Altair 条形图 - 如何更改条形图的数量?
Python Altair Bar Plots - How to change the number of bars?
我是 Altair 的新手,我想更改条形图中绘制的条形数量。我在网上做了一些研究,但找不到任何有用的东西。这是我的代码:
import altair as alt
import pandas as pd
import numpy as np
# Generate a random np array of size 1000, and our goal is to plot its distribution.
my_numbers = np.random.normal(size = 1000)
my_numbers_df = pd.DataFrame.from_dict({'Integers': my_numbers})
alt.Chart(my_numbers_df).mark_bar(size = 10).encode(
alt.X("Integers",
bin = True,
scale = alt.Scale(domain=(-5, 5))
),
y = 'count()',
)
现在的剧情是这样的
您可以通过传递 alt.Bin()
对象并指定 maxbins
来增加 bin 的数量
import altair as alt
import pandas as pd
import numpy as np
# Generate a random np array of size 1000, and our goal is to plot its distribution.
my_numbers = np.random.normal(size = 1000)
my_numbers_df = pd.DataFrame.from_dict({'Integers': my_numbers})
alt.Chart(my_numbers_df).mark_bar(size = 10).encode(
alt.X("Integers",
bin = alt.Bin(maxbins=25),
scale = alt.Scale(domain=(-5, 5))
),
y = 'count()',
)
我是 Altair 的新手,我想更改条形图中绘制的条形数量。我在网上做了一些研究,但找不到任何有用的东西。这是我的代码:
import altair as alt
import pandas as pd
import numpy as np
# Generate a random np array of size 1000, and our goal is to plot its distribution.
my_numbers = np.random.normal(size = 1000)
my_numbers_df = pd.DataFrame.from_dict({'Integers': my_numbers})
alt.Chart(my_numbers_df).mark_bar(size = 10).encode(
alt.X("Integers",
bin = True,
scale = alt.Scale(domain=(-5, 5))
),
y = 'count()',
)
现在的剧情是这样的
您可以通过传递 alt.Bin()
对象并指定 maxbins
import altair as alt
import pandas as pd
import numpy as np
# Generate a random np array of size 1000, and our goal is to plot its distribution.
my_numbers = np.random.normal(size = 1000)
my_numbers_df = pd.DataFrame.from_dict({'Integers': my_numbers})
alt.Chart(my_numbers_df).mark_bar(size = 10).encode(
alt.X("Integers",
bin = alt.Bin(maxbins=25),
scale = alt.Scale(domain=(-5, 5))
),
y = 'count()',
)