I’ve programmed these for calculating Variance import pandas as pd import xlrd import numpy as np import matplotlib.pyplot as plt credit_card=pd.read_csv("default_of_credit_card_clients_Data.csv",skiprows=1) print(credit_card.head()) for col in credit_card: var[col]=np.var(credit_card(col)) print(var) I’m getting this error Traceback (most recent call last): File "C:/Python34/project.py", line 11, in <module> ...
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I want to show 95% confidence interval with Python pandas, matpolib… But I stucked, because for usual .std() I would do smth like this: import pandas as pd import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import math data = pd.read_table('output.txt',sep=r'\,', engine='python') Ox = data.groupby(['Ox'])['Ox'].mean() Oy ...
import numpy as np import pandas as pd import matplotlib.pyplot as pt data1 = pd.read_csv('stage1_labels.csv') X = data1.iloc[:, :-1].values y = data1.iloc[:, 1].values from sklearn.preprocessing import LabelEncoder, OneHotEncoder label_X = LabelEncoder() X[:,0] = label_X.fit_transform(X[:,0]) encoder = OneHotEncoder(categorical_features = [0]) X = encoder.fit_transform(X).toarray() from sklearn.cross_validation import train_test_split X_train, X_test, y_train,y_test = train_test_split(X, y, ...
I’m trying to run a python program that requires matplotlib, which I’ve already installed via pip. I am running Python 3.6 locally on my Mac, with my .bash_profile updated to reflect this. The import line in question is as seen ...
import pandas as pd import matplotlib.pyplot as plt file = 'd:\\a\\pandas\\test.xlsx' data = pd.ExcelFile(file) df1 = data.parse('Link') df2 = df1[['dataFor', 'total']] df2 returns: print (type(df2)) tells me class 'pandas.core.frame.DataFrame' trying df2.plot(kind='line') returns matplotlib.axes._subplots.AxesSubplot at 0xe4241d0 Could it be the environment? Jupyter notebook > Help > About The version of ...
I am trying to create a 3D colored bar chart using ideas from: this stackoverflow post. First I create a 3D bar chart with the following code: import numpy as np import matplotlib.colors as colors import matplotlib.cm as cm import matplotlib.pyplot as plt from mpl_toolkits.mplot3d ...
This question already has an answer here: understanding matplotlib.subplots python ...
I’m very new with these libraries and i’m having troubles while plotting this: import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import numpy as np import random df5 = pd.read_csv('../../../../datos/tiempos-exacto-variando-n-m0.csv', sep=', ', engine='python') print(df5) df5['n'] = df5['n'].apply(lambda x: x**2) sns.jointplot(df5['n'], df5['tiempoTotal'], kind="reg") sns.plt.show() And i’m getting this ...
I am new to coding but I am trying to create a really simple program that will basically plot a line. The user will input values for v and a then v and a and x will determine y. ...
I installed opencv with all dependencies. After the installation I tried to import matplotlib for a simple example. Then I got the following error, when I tried to install matplotlib via pip with pip install matplotlib: Could not install packages due to ...