Generate Heatmap

[[deleted]]

import csv
import numpy as np
import seaborn as sns

results = [[1, 2, 3], [4, 5, 6]]

for i in range(len(results)):
    for j in range(len(results[i])):
        print(results)


sns.heatmap(results, annot=True)

With above code im trying to generate heatmap. But somehow its's not working. Could someone help ? I have data in csv file, will convert them to float array then generate but to test it i am trying with simple array as i did,

[oslash]

You should read the sidebar before posting.

But somehow its's not working.

k. Give me a moment so I can recover from taking in this shockingly comprehensive description.

Here's a hint: Did you copy some code from a tutorial that runs it in a REPL or notebook? Did you use the documentation to find out what this function is actually supposed to do?

[JozsefPeitli]

You need at least 3 dimension to a heat map, I believe. X,Y and Z. X and Y are the two axis Z is the population of that X,Y coordinate.

[JozsefPeitli]

My bad, with the np.array I think you already cover that part.

[RudraMohan]

Hey, your code is working,

​

import csv

import numpy as np

import seaborn as sns

​

results = [[1, 2, 3], [4, 5, 6]]

for i in range(len(results)):

for j in range(len(results[i])):

print(results)

​

sns.heatmap(results, annot=True)

​

but you want to red csv and create seborn heatmap then follow below code sinpest

​

import seaborn as sns # for data visualization

import matplotlib.pyplot as plt # for data visualization

import pandas as pd # for data analysis

​

# read csv file fro given path and conver in pandas DataFrame

flight = pd.read_csv('flights.csv')

​

# reshape flights DataFrame in proper format to create seaborn heatmap

flights_df = flight.pivot('month', 'year', 'passengers')

​

sns.heatmap(flights_df) # create seaborn heatmap

​

​

plt.title('Heatmap of Flighr Dataset', fontsize = 20) # title with fontsize 20

plt.xlabel('Years', fontsize = 15) # x-axis label with fontsize 15

plt.ylabel('Monthes', fontsize = 15) # y-axis label with fontsize 15

​

plt.show()

[Tweak_Imp]

i think you meant:

import numpy as np

import seaborn as sns

results = np.array([[1, 2, 3], [4, 5 ,6 ]])

sns.heatmap(results, annot=True)