Error with Python.Plotting - Need to plot more than one scatter_matrix in Python
I need to plot more than one scatter_matrix
graph at once. Please find the code that I use:
import pandas as pd
smallX = pd.read_csv('data.csv')
scart = ['tau1', 'tau2', 'tau3']
uni = ['tau4', 'tau5', 'tau6']
for q in scart:
smallX.drop(q, axis=1, inplace=True)
smallXkeys=list(smallX.columns.values)
for i4 in smallXkeys:
if (i4 == uni):
smallX = pd.read_csv('data.csv')
for q in scart:
smallX.drop(q, axis=1, inplace=True)
for t in smallXkeys:
print("entered")
smallX.drop(t, axis=1, inplace=True)
pd.plotting.scatter_matrix(smallX, alpha=0.2, figsize=(15, 15), diagonal='kde')
I obtain two scatter_matrixes
, but not more than that. In the middle, I get the following error:
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3124: UserWarning: Attempting to set identical left==right results
in singular transformations; automatically expanding.
left=1.0, right=1.0
'left=%s, right=%s') % (left, right))
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3443: UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=1.0, top=1.0
'bottom=%s, top=%s') % (bottom, top))
How can I resolve this error?
python pandas plot
add a comment |
I need to plot more than one scatter_matrix
graph at once. Please find the code that I use:
import pandas as pd
smallX = pd.read_csv('data.csv')
scart = ['tau1', 'tau2', 'tau3']
uni = ['tau4', 'tau5', 'tau6']
for q in scart:
smallX.drop(q, axis=1, inplace=True)
smallXkeys=list(smallX.columns.values)
for i4 in smallXkeys:
if (i4 == uni):
smallX = pd.read_csv('data.csv')
for q in scart:
smallX.drop(q, axis=1, inplace=True)
for t in smallXkeys:
print("entered")
smallX.drop(t, axis=1, inplace=True)
pd.plotting.scatter_matrix(smallX, alpha=0.2, figsize=(15, 15), diagonal='kde')
I obtain two scatter_matrixes
, but not more than that. In the middle, I get the following error:
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3124: UserWarning: Attempting to set identical left==right results
in singular transformations; automatically expanding.
left=1.0, right=1.0
'left=%s, right=%s') % (left, right))
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3443: UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=1.0, top=1.0
'bottom=%s, top=%s') % (bottom, top))
How can I resolve this error?
python pandas plot
Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37
add a comment |
I need to plot more than one scatter_matrix
graph at once. Please find the code that I use:
import pandas as pd
smallX = pd.read_csv('data.csv')
scart = ['tau1', 'tau2', 'tau3']
uni = ['tau4', 'tau5', 'tau6']
for q in scart:
smallX.drop(q, axis=1, inplace=True)
smallXkeys=list(smallX.columns.values)
for i4 in smallXkeys:
if (i4 == uni):
smallX = pd.read_csv('data.csv')
for q in scart:
smallX.drop(q, axis=1, inplace=True)
for t in smallXkeys:
print("entered")
smallX.drop(t, axis=1, inplace=True)
pd.plotting.scatter_matrix(smallX, alpha=0.2, figsize=(15, 15), diagonal='kde')
I obtain two scatter_matrixes
, but not more than that. In the middle, I get the following error:
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3124: UserWarning: Attempting to set identical left==right results
in singular transformations; automatically expanding.
left=1.0, right=1.0
'left=%s, right=%s') % (left, right))
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3443: UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=1.0, top=1.0
'bottom=%s, top=%s') % (bottom, top))
How can I resolve this error?
python pandas plot
I need to plot more than one scatter_matrix
graph at once. Please find the code that I use:
import pandas as pd
smallX = pd.read_csv('data.csv')
scart = ['tau1', 'tau2', 'tau3']
uni = ['tau4', 'tau5', 'tau6']
for q in scart:
smallX.drop(q, axis=1, inplace=True)
smallXkeys=list(smallX.columns.values)
for i4 in smallXkeys:
if (i4 == uni):
smallX = pd.read_csv('data.csv')
for q in scart:
smallX.drop(q, axis=1, inplace=True)
for t in smallXkeys:
print("entered")
smallX.drop(t, axis=1, inplace=True)
pd.plotting.scatter_matrix(smallX, alpha=0.2, figsize=(15, 15), diagonal='kde')
I obtain two scatter_matrixes
, but not more than that. In the middle, I get the following error:
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3124: UserWarning: Attempting to set identical left==right results
in singular transformations; automatically expanding.
left=1.0, right=1.0
'left=%s, right=%s') % (left, right))
C:ProgramDataAnaconda3libsite-packagesmatplotlibaxes_base.py:3443: UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=1.0, top=1.0
'bottom=%s, top=%s') % (bottom, top))
How can I resolve this error?
python pandas plot
python pandas plot
edited Nov 13 '18 at 22:31
Joel
1,5686719
1,5686719
asked Nov 13 '18 at 21:49
Francesco ZangaroFrancesco Zangaro
63
63
Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37
add a comment |
Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37
Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37
Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37
add a comment |
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Hi, welcome to StackOverflow. Can you share some of your data, or sample data, so we can try plotting it?
– Evan
Nov 13 '18 at 23:37