Python Change axis on Multi Histogram plot

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I have a pandas dataframe df for which I plot a multi-histogram as follow :

df.hist(bins=20)

This give me a result that look like this (Yes this exemple is ugly since there is only one data per histogram, sorry) :
enter image description here

I have a subplot for each numerical column of my dataframe.

Now I want all my histograms to have an X-axis between 0 and 1. I saw that the hist() function take a ax parameter, but I cannot manage to make it work.
How is it possible to do that ?

EDIT :

Here is a minmal example :

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

df.hist(bins=20)



plt.show()

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

So you just want to change the labels of your x-axis?

– Mohit Motwani
Jan 3 at 11:16

In the above example, I want all X-axis to be between 0 and 1. So in the cases the 'blue bar' is at 0, it sould be displayed on the left of the histogram, for a bar at 1 it sould be displayed on the left and for 0.5 it should be on the middle of the histogram.

– Nakeuh
Jan 3 at 11:19

add a comment |

I have a pandas dataframe df for which I plot a multi-histogram as follow :

df.hist(bins=20)

This give me a result that look like this (Yes this exemple is ugly since there is only one data per histogram, sorry) :
enter image description here

I have a subplot for each numerical column of my dataframe.

Now I want all my histograms to have an X-axis between 0 and 1. I saw that the hist() function take a ax parameter, but I cannot manage to make it work.
How is it possible to do that ?

EDIT :

Here is a minmal example :

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

df.hist(bins=20)



plt.show()

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

So you just want to change the labels of your x-axis?

– Mohit Motwani
Jan 3 at 11:16

In the above example, I want all X-axis to be between 0 and 1. So in the cases the 'blue bar' is at 0, it sould be displayed on the left of the histogram, for a bar at 1 it sould be displayed on the left and for 0.5 it should be on the middle of the histogram.

– Nakeuh
Jan 3 at 11:19

add a comment |

I have a pandas dataframe df for which I plot a multi-histogram as follow :

df.hist(bins=20)

This give me a result that look like this (Yes this exemple is ugly since there is only one data per histogram, sorry) :
enter image description here

I have a subplot for each numerical column of my dataframe.

Now I want all my histograms to have an X-axis between 0 and 1. I saw that the hist() function take a ax parameter, but I cannot manage to make it work.
How is it possible to do that ?

EDIT :

Here is a minmal example :

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

df.hist(bins=20)



plt.show()

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

I have a pandas dataframe df for which I plot a multi-histogram as follow :

df.hist(bins=20)

This give me a result that look like this (Yes this exemple is ugly since there is only one data per histogram, sorry) :
enter image description here

I have a subplot for each numerical column of my dataframe.

Now I want all my histograms to have an X-axis between 0 and 1. I saw that the hist() function take a ax parameter, but I cannot manage to make it work.
How is it possible to do that ?

EDIT :

Here is a minmal example :

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

df.hist(bins=20)



plt.show()

python pandas

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

edited Jan 3 at 12:45

asked Jan 3 at 11:11

Nakeuh

306113

asked Jan 3 at 11:11

Nakeuh

306113

asked Jan 3 at 11:11

Nakeuh

306113

So you just want to change the labels of your x-axis?

– Mohit Motwani
Jan 3 at 11:16

In the above example, I want all X-axis to be between 0 and 1. So in the cases the 'blue bar' is at 0, it sould be displayed on the left of the histogram, for a bar at 1 it sould be displayed on the left and for 0.5 it should be on the middle of the histogram.

– Nakeuh
Jan 3 at 11:19

add a comment |

So you just want to change the labels of your x-axis?

– Mohit Motwani
Jan 3 at 11:16

In the above example, I want all X-axis to be between 0 and 1. So in the cases the 'blue bar' is at 0, it sould be displayed on the left of the histogram, for a bar at 1 it sould be displayed on the left and for 0.5 it should be on the middle of the histogram.

– Nakeuh
Jan 3 at 11:19

So you just want to change the labels of your x-axis?

– Mohit Motwani
Jan 3 at 11:16

In the above example, I want all X-axis to be between 0 and 1. So in the cases the 'blue bar' is at 0, it sould be displayed on the left of the histogram, for a bar at 1 it sould be displayed on the left and for 0.5 it should be on the middle of the histogram.

– Nakeuh
Jan 3 at 11:19

add a comment |

1 Answer
1

active

oldest

votes

Here is a solution that works, but for sure is not ideal:

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

ax = df.hist(bins=20)

for x in ax:

    for y in x:

        y.set_xlim(0,1)



plt.show()

answered Jan 3 at 15:12

Anton

858

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

Here is a solution that works, but for sure is not ideal:

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

ax = df.hist(bins=20)

for x in ax:

    for y in x:

        y.set_xlim(0,1)



plt.show()

answered Jan 3 at 15:12

Anton

858

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

add a comment |

Here is a solution that works, but for sure is not ideal:

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

ax = df.hist(bins=20)

for x in ax:

    for y in x:

        y.set_xlim(0,1)



plt.show()

answered Jan 3 at 15:12

Anton

858

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

add a comment |

Here is a solution that works, but for sure is not ideal:

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

ax = df.hist(bins=20)

for x in ax:

    for y in x:

        y.set_xlim(0,1)



plt.show()

answered Jan 3 at 15:12

Anton

858

Here is a solution that works, but for sure is not ideal:

import pandas as pd

import matplotlib.pyplot as plt



myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]



myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']



df = pd.DataFrame(myArray,columns=myColumns)



print(df)

ax = df.hist(bins=20)

for x in ax:

    for y in x:

        y.set_xlim(0,1)



plt.show()

answered Jan 3 at 15:12

Anton

858

answered Jan 3 at 15:12

Anton

858

answered Jan 3 at 15:12

Anton

858

answered Jan 3 at 15:12

Anton

858

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

add a comment |

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

I arrived at the same solution as you. It does the work but I noticed a weird behavior. Histograms can have different width for the bars. For example using myArray = [(0,0,0,0,0,0,0,0,0), (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)]

– Nakeuh
Jan 3 at 15:39

weird, I'm not sure whats causing that behavior. If this solution solved your problem could you mark it as answered? :)

– Anton
Jan 4 at 17:25

add a comment |

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