Seaborn heatmap

The dataset

	total_bill	sex	time	tip	size	day	smoker
0	500.0	male	lunch	30	2	sat	no
1	648.0	male	dinner	35	3	sat	yes
2	75.0	female	lunch	10	1	sat	no
3	159.0	female	dinner	12	4	sat	yes
4	250.0	male	lunch	3	3	mon	no
5	222.0	female	lunch	25	3	mon	yes
6	356.0	male	dinner	30	4	mon	no
7	99.0	female	lunch	5	1	mon	no
8	150.0	male	dinner	4	4	mon	no
9	225.0	female	lunch	38	4	mon	no
10	478.0	female	lunch	28	3	tue	yes
11	320.0	male	dinner	14	3	tue	yes
12	300.0	male	lunch	32	2	tue	yes
13	520.0	male	lunch	33	3	wed	yes
14	367.0	male	dinner	25	3	tue	yes
15	277.0	female	lunch	40	4	wed	yes
16	100.0	female	dinner	6	1	wed	no
17	99.0	male	dinner	40	1	wed	yes
18	199.0	female	lunch	35	3	wed	no
19	288.0	female	dinner	21	2	wed	yes
20	120.0	male	dinner	18	1	thu	yes
21	168.0	male	lunch	15	4	thu	yes
22	120.0	female	dinner	10	3	thu	yes
23	284.0	male	lunch	8	2	thu	yes

How to create heatmap?

To create heatmap write module_name.heatmap(). In the bracket write parameters.

Mandatory parameter:
Dataset stored variable name

Some other parameters:

palette:palette value name. There is some fixed name for this parameter. We can use those names for different pre-build colors. Example:Accent_r, hot, inferno_r, etc.

annot:True or False.Default is False. Using this parameter we can put numbers on the heatmap

fmt="write how many decimal number you want". Using fmt we can format the number that we got using annot.
Example:fmt="".1f". This means you want one decimal number

cmap="Fixed color mixed value". This is used to change the color of heatmap like BuPu, YlGnBu, Blues, RdBu etc.

linewidth=int value.

center=int_val. Using this parameter we can set the center point of the heatmap.

vmin=int_val. Using this parameter we can set the minimum or start value of the color map.

vmax=int_val. Using this parameter we can set the maximum or end value of the color map.

Example 1:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.heatmap(df)
plt.show()

Example 2:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.heatmap(df,annot=True,fmt=".1f")
plt.show()

Example 3:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.heatmap(df,camp="Bupu",linewidth=0.7)
plt.show()

Example 4:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.heatmap(df,camp="Bupu",linewidth=0.7,center=0)
plt.show()

Example 5:

Input
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df=pd.read_csv("E\\CSV4.csv")
sns.heatmap(df,camp="Bupu",linewidth=0.7,vmin=-1, vmax=1)
plt.show()

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