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# How to Plot Multiple Lines in Matplotlib

You can displayÂ  multiple lines in a single Matplotlib plot by using the following syntax:

```import matplotlib.pyplot as plt

plt.plot(df['column1'])
plt.plot(df['column2'])
plt.plot(df['column3'])

...
plt.show()
```

This tutorial provides several examples of how to plot multiple lines in one chart using the following pandas DataFrame:

```import numpy as np
import pandas as pd

#make this example reproducible
np.random.seed(0)

#create dataset
period = np.arange(1, 101, 1)
prospects = np.random.uniform(40, 80, 100)
sales = 60 + 2*period + np.random.normal(loc=0, scale=.5*period, size=100)
df = pd.DataFrame({'period': period,
'prospects': prospects,
'sales': sales})

#view first 10 rows

0	1	27.891862	67.112661	62.563318
1	2	36.044279	50.800319	62.920068
2	3	30.535405	69.407761	64.278797
3	4	27.699276	78.487542	67.124360
4	5	21.759085	49.950126	68.754919
5	6	32.648812	63.046293	77.788596
6	7	22.441773	63.681677	77.322973
7	8	44.696877	62.890076	76.350205
8	9	48.219475	48.923265	72.485540
9	10	19.788634	78.109960	84.221815
```

### Plot Multiple Lines in Matplotlib

The following code shows how to plot three individual lines in a single plot in matplotlib:

```import matplotlib.pyplot as plt

#plot individual lines
plt.plot(df['prospects'])
plt.plot(df['sales'])

#display plot
plt.show()
```

### Customize Lines in Matplotlib

You can also customize the color, style, and width of each line:

```#plot individual lines with custom colors, styles, and widths
plt.plot(df['prospects'], color='steelblue', linewidth=4)
plt.plot(df['sales'], color='purple', linestyle='dashed')

#display plot
plt.show()```

### Add a Legend in Matplotlib

You can also add a legend so you can tell the lines apart:

```#plot individual lines with custom colors, styles, and widths
plt.plot(df['prospects'], label='Prospects', color='steelblue', linewidth=4)
plt.plot(df['sales'], label='Sales', color='purple', linestyle='dashed')

plt.legend()

#display plot
plt.show()```

### Add Axis Labels and Titles in Matplotlib

Lastly, you can add axis labels and a title to make the plot complete:

```#plot individual lines with custom colors, styles, and widths
plt.plot(df['prospects'], label='Prospects', color='steelblue', linewidth=4)
plt.plot(df['sales'], label='Sales', color='purple', linestyle='dashed')