We Keep Coding

How can I fix this Import Error Seaborn Heatmap?

I am new to python and I am trying to create a heatmap off of a pivot table. Below is the code I am using. There are NaN values in my df but I made them 0's and I am still getting the same answer. I have also read that it has something to do with the way I have named my file similar to python's standard library but I do not recall doing this or know how to change it.
sns.heatmap(pivot, annot = True)
plt.yticks(rotation=0)
plt.xticks(rotation=90)
plt.show()
The error looks like this:
ImportError: cannot import name 'roperator'
These are the import I have done:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mlxtend.preprocessing import TransactionEncoder
from mlxtend.frequent_patterns import apriori
from mlxtend.frequent_patterns import association_rules
import matplotlib.pyplot as plt
import seaborn as sns

Plotly express doesn't load and refuse to connect

I have this simple program that should display a pie chart, but whenever I run the program, it opens a page on Chrome and just keeps loading without any display, and sometimes it refuses to connect. How do I solve this?
P.S: I would like to use it offline, and I'm running it using cmd on windows10
import pandas as pd
import numpy as np
from datetime import datetime
import plotly.express as px
def graph(dataframe):
figure0 = px.pie(dataframe,values=dataframe['POPULATION'],names=dataframe['CONTINENT'])
figure0.show()
df = pd.DataFrame({'POPULATION':[60,17,9,13,1],'CONTINENT':['Asia','Africa','Europe','Americas','Oceania']})
graph(df)

Disclaimer: I extracted this answer from the OPs question. Answers should not be contained in the question itself.
Answer provided by g_odim_3:
So instead of figure0.show(), I used figure0.write_html('first_figure.html', auto_open=True) and it worked:
import pandas as pd
import numpy as np
from datetime import datetime
import plotly.express as px
def graph(dataframe):
figure0 = px.pie(dataframe,values=dataframe['POPULATION'],names=dataframe['CONTINENT'],title='Global Population')
# figure0.show()
figure0.write_html('first_figure.html', auto_open=True)
df = pd.DataFrame({'POPULATION':[60,17,9,13,1],'CONTINENT':['Asia','Africa','Europe','Americas','Oceania']})
graph(df)

I'm 99% sure that this is a version issue. It's a long time since you needed an internet connection to build Plotly figures. Follow the instructions here on how to upgrade your system. I've tried your exact code on my end at it produces the following plot:
I'm on Plotly 5.2.2. Run import plotly and plotly.__version__ to check the version on your end.

Plotting dataframes using matplotlib in Python IDE

I am trying to plot a dataframe which has been taken from get_data_yahoo attribute in pandas_datareader.data on python IDE using matplotlib.pyplot and I am getting an KeyError for the X-Co-ordinate in prices.plot no matter what I try. Please help!
I have tried this out :-
import matplotlib.pyplot as plt
from pandas import Series,DataFrame
import pandas_datareader.data as pdweb
import datetime
prices=pdweb.get_data_yahoo(['CVX','XOM','BP'],start=datetime.datetime(2020,2,24),
end=datetime.datetime(2020,3,20))['Adj Close']
prices.plot(x="Date",y=["CVX","XOM","BP"])
plt.imshow()
plt.show()
And I have tried this as well:-
prices=DataFrame(prices.to_dict())
prices.plot(x="Timestamp",y=["CVX","XOM","BP"])
plt.imshow()
plt.show()
Please Help...!!
P.S: I am also getting some kind of warning, please explain about it if you could :)

The issue is that the Date column isn't an actual column when you import the data. It's an index. So just use:
prices = prices.reset_index()
Before plotting. This will convert the index into a column, and generate a new, integer-labelled index.
Also, in regards to the warnings, Pandas is full of them and they are super annoying! You can turn them off with the standard python library warnings.
import warnings
warnings.filterwarnings('ignore')

Python - Matplotlib plots incorrect graph when using pandas dataframe

(My first ever StackOverflow question)
I'm trying to plot bitcoin's market-cap against the date using pandas and matplotlib in Python.
Here is my code:
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#read in CSV file using Pandas built in method
df = pd.read_csv("btc.csv", index_col=0, parse_dates=True)
Here are some details about the data frame:
dataframe details
matplotlib code:
#Plot marketcap(usd)
plt.plot(df.index, df["marketcap(USD)"])
plt.show()
Result:
Incorrect result
The plot seems to be more like scribbles that seem to move backwards. How could I fix this?

You can plot your Pandas Series "marketcap(USD)" directly using:
df["marketcap(USD)"].plot()
See the Pandas documentation on Basic Plotting

Scatter_Matrix Will Not Display Using Pandas and

Working through following the Machine Learning Tutorial:
http://machinelearningmastery.com/machine-learning-in-python-step-by-step/
Specifically, Section 4.2. Unfortunately, my code is throwing an error
NameError: name 'scatter_matrix' is not defined
Here is my code:
import pandas
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']
dataset = pandas.read_csv(url, names=names)
scatter_matrix(dataset)
plt.show()
There's at least one Stack Overflow question on scatter_matrix, but I haven't able to figure out what's missing.
Pandas scatter_matrix - plot categorical variables

You will have to import it like this:
from pandas.plotting import scatter_matrix

Cause you've imported the Pandas. You could use it like below:
pd.scatter_matrix(dataset)
However, pandas.scatter_matrix() is deprecated. use pandas.plotting.scatter_matrix() instead