I am getting an error:
"OptionError: 'You can only set the value of existing options'"
after using the below code, please can someone help?
### Data Analaysis
import numpy as np
import pandas as pd
### Data Visualization
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.graph_objs as go
import plotly.express as px
from plotly.subplots import make_subplots
from scipy.interpolate import make_interp_spline, BSpline
%matplotlib inline
import warnings
warnings.simplefilter(action='ignore', category=Warning)
pd.set_option('display.max_columns', None)
pd.options.plotting.backend = "plotly"
The option error "you can only set the value of existing options" are coming because of your last line of script
pd.options.plotting.backend = "plotly"
where you are trying to update your pandas backend plotting method.
Please update your pandas and plotly packages. Because it only works with pandas version>=0.25 and plotly version>=4.8.
So update both the packages, restart your kernel, if you are working on Jupyter notebook. For upgrading the packages
pip install -U pandas
pip install -U plotly
Related
I've run into an issue where I need to run the same cell twice after making a change. I've included a gif and the code.
In the gif I first change the seaborn style to darkgrid and run it, this should show the output as changed to the specified style on the first run, but I need to run it twice in order for the output to change.
Here is the code:
%matplotlib inline
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0,14,100)
for i in range(1,5):
plt.plot(x,np.sin(x+i*0.5)*(7-i))
sns.set_style("white", {'axes.axisbelow': False})
plt.show()
I have tried separating the import lines to a previous cell but still the problem persists
set your style, before you plot anything . Move the line sns.set_style before for loop. It should work.
%matplotlib inline
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
sns.set_style("darkgrid", {'axes.axisbelow': False})
x = np.linspace(0,14,100)
for i in range(1,5):
plt.plot(x,np.sin(x+i*0.5)*(7-i))
plt.show()
Whenever I try to run the following code I get an error message
import matplotlib
import pandas as pd
import _pickle as pickle
import numpy as np
print(matplotlib.version)
AttributeError: module 'matplotlib' has no attribute 'version'
I get the same error if i try this: matplotlib.style.use('bmh')
I'm using PyCharm
The errors are stating those attributes do not exist. It is not a problem of the installation.
To get the version:
print(matplotlib.__version__)
Regarding the style:
You do not "apply" that in matplotlib. You may want to use the module pyplot:
import matplotlib.pyplot as plt
plt.style.use("bmh")
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model
dataset = pd.read_csv('homeprice.csv')
print(dataset)
Output
NameError Traceback (most recent call
last) in
----> 1 dataset = pd.read_csv('homeprice.csv')
2 print(dataset)
NameError: name 'pd' is not defined
You mention that you are using a Jupiter notebook so you may have two code cells:
First is with the imports:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model
And the second is with the functionality:
dataset = pd.read_csv('homeprice.csv')
print(dataset)
In Jupiter notebooks you may run each cell separately. If this is what you do, you should remember the run the first cell before you execute the second one for the first time. This would make sure the right stuff is imported in the current context for you second cell.
!pip install tensorflow-gpu==2.2.0.0rc2
import tensorflow as tf
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
Or
Just go with the latest TensorFlow version in the Colab
i must install matplotlib on a offline PC with python 3.5....to run some scripts. I copy the lib to the Right path on the offline PC....all other lib like reportlab are running. But if i trie to write something with matplotlib.pyplot as plt i got the Error Message "ImportError:cannot Import 'path'".
a the first step i
Import matplotlib
matplotlib.use('aggs')
Import matplotlib.pyplot as plt
the biggest Problem i cant download something on this offline pc.
So i am rly new to write some codes with python so pls dont jugde me guys =)
So the frist step was delet the old libs and use older versions of matplotlib
actuel i use 3.0.2.
i copy the Folders matplotlib, matplotlib-3.0.2.dist-info and matplotlib-3.0.2-py3.5-nspkg.pth
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(9.5, 6), dpi=450)
ax = fig.gca()
ax.set_xticks(np.arange(tick_scale_x))
ax.set_yticks(np.arange(tick_scale_y))
plt.title(dia_title, fontsize=20, color='black')
plt.xlabel(axis_label_x)
plt.ylabel(axis_label_y)
I have successfully installed scipy, numpy, and pillow, however I get error as below
ImportError: cannot import name 'imread'
Are you following the same steps?
import scipy.misc
img = scipy.misc.imread('my_image_path')
# To verify image is read properly.
import matplotlib.pyplot as plt
print(img.shape)
plt.imshow(img)
plt.show()
imread and imsave are deprecated in scipy.misc
Use imageio.imread instead after import imageio.
For saving -
Use imageio.imsave instead or use imageio.write
For resizing use skimage.transform.resize instead after import skimage