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I am trying to create a subplot with two plots. The first plot is essentially a scatter plot (i'm using regplot) and the second is a histogram.
my code is as follows:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
data = {'source':['B1','B1','B1','C2','C2','C2'],
'depth':[1,4,9,1,3,10],
'value':[10,4,23,78,24,45]}
df = pd.DataFrame(data)
f, (ax1, ax2) = plt.subplots(1,2)
for source in df['source'].unique():
x = df.loc[df['source'] == source, 'value']
y = df.loc[df['source'] == source, 'depth']
sns.regplot(x,
y,
scatter = True,
fit_reg = False,
label = source,
ax = ax1)
ax1.legend()
sns.distplot(x,
bins = 'auto',
norm_hist =True,
kde = True,
rug = True,
ax = ax2,
label = source)
ax2.legend()
ax2.relim()
ax2.autoscale_view()
plt.show()
The result is shown below.
As you can see, the colors between the scatter and the histogram are different. Now, I had a play around with color pallets and all, which has not worked. Can anyone shed any light on how I can sync the colors?
Thanks.
355
The subplot() Function #the figure has 1 row, 2 columns, and this plot is the first plot. plt.subplot(1, 2, 2) #the figure has 1 row, 2 columns, and this plot is the second plot.
To change the size of subplots in Matplotlib, use the plt. subplots() method with the figsize parameter (e.g., figsize=(8,6) ) to specify one size for all subplots — unit in inches — and the gridspec_kw parameter (e.g., gridspec_kw={'width_ratios': [2, 1]} ) to specify individual sizes.
The usual way to set the line color in matplotlib is to specify it in the plot command. This can either be done by a string after the data, e.g. "r-" for a red line, or by explicitely stating the color argument.
In this article, we will explore how to create a subplot or multi-dimensional plot in seaborn, It is a useful approach to draw subplot instances of the same plot on different subsets of your dataset. It allows a viewer to quickly extract a large amount of data about complex information.
Make use of the hue_order parameter.
From seaborn documentation : seaborn.countplot(*, x=None, y=None, hue=None, data=None, order=None, hue_order=None, orient=None, color=None, palette=None, saturation=0.75, dodge=True, ax=None, **kwargs)
order, hue_order: lists of strings, optional Order to plot the categorical levels in, otherwise the levels are inferred from the data objects
Eg:
hue_order = target_0['CODE_GENDER'].unique()
plt.subplot(2,2,1) sns.countplot(x='INCOME_BRACKET', hue ='GENDER',data = df_0,hue_order=hue_order,palette = 'mako'); plt.title("Non-defaulters : Income bracket b/w Gender - Target 0");
plt.subplot(2,2,2) sns.countplot(x='INCOME_BRACKET', hue ='GENDER',data = df_1,hue_order=hue_order,palette = 'mako'); plt.title("Defaulters : >Income bracket b/w Gender - Target 1" );
Output as seen below :
Two subplots with synced colors
I realise this is an old question. However, this is quite simple(not sure if this was option was available before) which I couldn't find in any of the other answers and these didn't work for some reason too. So, this answer is for others who are still struggling with this.
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