pandas plotting - sharex altering x values in plot
I'm attempting to plot 3 subplots with a scatter plot at axes[0,0] a horizontal bar chart at axes[0,1] and a bar chart at axes[1,0]. The plots are working fine, except when I try to get them to share axes. Below is my code and a picture of the output:
import matplotlib.pyplot as plt
import pandas as pd
fig, axes = plt.subplots(2,2,figsize=(10,10))
df.plot(x=['LCScore'],
y=['Retail Price (Value)'],
s=bike_df['BV Total']/100,
kind="scatter",
ax=axes[0,0],
alpha=0.5)
df.groupby('Retail Price (Value)')['BV Total'].sum().plot(y='BV Total',
kind="barh",
ax=axes[0,1],
yticks=(80,100,120,140,160,180,200))
df.groupby('LCScore')['BV Total'].sum().plot(y='BV Total',
kind="bar",
ax=axes[1,0])
plt.sca(axes[0,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.sca(axes[1,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.show()
fig.savefig('foo.pdf')
plt.close()
It seems to be occurring when I'm assigning xticks to the axes[1,0] subplot.
python pandas matplotlib
add a comment |
I'm attempting to plot 3 subplots with a scatter plot at axes[0,0] a horizontal bar chart at axes[0,1] and a bar chart at axes[1,0]. The plots are working fine, except when I try to get them to share axes. Below is my code and a picture of the output:
import matplotlib.pyplot as plt
import pandas as pd
fig, axes = plt.subplots(2,2,figsize=(10,10))
df.plot(x=['LCScore'],
y=['Retail Price (Value)'],
s=bike_df['BV Total']/100,
kind="scatter",
ax=axes[0,0],
alpha=0.5)
df.groupby('Retail Price (Value)')['BV Total'].sum().plot(y='BV Total',
kind="barh",
ax=axes[0,1],
yticks=(80,100,120,140,160,180,200))
df.groupby('LCScore')['BV Total'].sum().plot(y='BV Total',
kind="bar",
ax=axes[1,0])
plt.sca(axes[0,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.sca(axes[1,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.show()
fig.savefig('foo.pdf')
plt.close()
It seems to be occurring when I'm assigning xticks to the axes[1,0] subplot.
python pandas matplotlib
1
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
pandas barplots start at 0. So you would want to haveplt.xticks((0,1,2,3),('i','i','c','m'))
.
– ImportanceOfBeingErnest
Nov 15 '18 at 16:21
add a comment |
I'm attempting to plot 3 subplots with a scatter plot at axes[0,0] a horizontal bar chart at axes[0,1] and a bar chart at axes[1,0]. The plots are working fine, except when I try to get them to share axes. Below is my code and a picture of the output:
import matplotlib.pyplot as plt
import pandas as pd
fig, axes = plt.subplots(2,2,figsize=(10,10))
df.plot(x=['LCScore'],
y=['Retail Price (Value)'],
s=bike_df['BV Total']/100,
kind="scatter",
ax=axes[0,0],
alpha=0.5)
df.groupby('Retail Price (Value)')['BV Total'].sum().plot(y='BV Total',
kind="barh",
ax=axes[0,1],
yticks=(80,100,120,140,160,180,200))
df.groupby('LCScore')['BV Total'].sum().plot(y='BV Total',
kind="bar",
ax=axes[1,0])
plt.sca(axes[0,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.sca(axes[1,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.show()
fig.savefig('foo.pdf')
plt.close()
It seems to be occurring when I'm assigning xticks to the axes[1,0] subplot.
python pandas matplotlib
I'm attempting to plot 3 subplots with a scatter plot at axes[0,0] a horizontal bar chart at axes[0,1] and a bar chart at axes[1,0]. The plots are working fine, except when I try to get them to share axes. Below is my code and a picture of the output:
import matplotlib.pyplot as plt
import pandas as pd
fig, axes = plt.subplots(2,2,figsize=(10,10))
df.plot(x=['LCScore'],
y=['Retail Price (Value)'],
s=bike_df['BV Total']/100,
kind="scatter",
ax=axes[0,0],
alpha=0.5)
df.groupby('Retail Price (Value)')['BV Total'].sum().plot(y='BV Total',
kind="barh",
ax=axes[0,1],
yticks=(80,100,120,140,160,180,200))
df.groupby('LCScore')['BV Total'].sum().plot(y='BV Total',
kind="bar",
ax=axes[1,0])
plt.sca(axes[0,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.sca(axes[1,0])
plt.xticks((1,2,3,4),('i','i','c','m'))
plt.show()
fig.savefig('foo.pdf')
plt.close()
It seems to be occurring when I'm assigning xticks to the axes[1,0] subplot.
python pandas matplotlib
python pandas matplotlib
edited Nov 15 '18 at 15:30
JustEnki
asked Nov 15 '18 at 15:24
JustEnkiJustEnki
263
263
1
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
pandas barplots start at 0. So you would want to haveplt.xticks((0,1,2,3),('i','i','c','m'))
.
– ImportanceOfBeingErnest
Nov 15 '18 at 16:21
add a comment |
1
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
pandas barplots start at 0. So you would want to haveplt.xticks((0,1,2,3),('i','i','c','m'))
.
– ImportanceOfBeingErnest
Nov 15 '18 at 16:21
1
1
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
pandas barplots start at 0. So you would want to have
plt.xticks((0,1,2,3),('i','i','c','m'))
.– ImportanceOfBeingErnest
Nov 15 '18 at 16:21
pandas barplots start at 0. So you would want to have
plt.xticks((0,1,2,3),('i','i','c','m'))
.– ImportanceOfBeingErnest
Nov 15 '18 at 16:21
add a comment |
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1
Can you add the picture of the output?
– DavidG
Nov 15 '18 at 15:27
@DavidG Yep, sorry about that.
– JustEnki
Nov 15 '18 at 15:31
pandas barplots start at 0. So you would want to have
plt.xticks((0,1,2,3),('i','i','c','m'))
.– ImportanceOfBeingErnest
Nov 15 '18 at 16:21