Using this dataframe,
```python
df = pd.DataFrame({
    'name':['john','mary','peter','jeff','bill','lisa','jose'],
    'age':[23,78,22,19,45,33,20],
    'gender':['M','F','M','M','M','F','M'],
    'state':['california','dc','california','dc','california','texas','texas'],
    'num_children':[2,0,0,3,2,1,4],
    'num_pets':[5,1,0,5,2,2,3]
})
```
To create a scatterplot of two columns,
```python
df.plot(kind='scatter',x='num_children',y='num_pets',color='red')
plt.show()
```

Matplotlib Scatter Plot

Using this dataframe,
```python
df = pd.DataFrame({
    'name':['john','mary','peter','jeff','bill','lisa','jose'],
    'age':[23,78,22,19,45,33,20],
    'gender':['M','F','M','M','M','F','M'],
    'state':['california','dc','california','dc','california','texas','texas'],
    'num_children':[2,0,0,3,2,1,4],
    'num_pets':[5,1,0,5,2,2,3]
})
```
To create a bar chart,
```python
df.plot(kind='bar',x='name',y='age')
```

Matplotlib Bar Chart

Using this dataframe,
```python
df = pd.DataFrame({
    'name':['john','mary','peter','jeff','bill','lisa','jose'],
    'age':[23,78,22,19,45,33,20],
    'gender':['M','F','M','M','M','F','M'],
    'state':['california','dc','california','dc','california','texas','texas'],
    'num_children':[2,0,0,3,2,1,4],
    'num_pets':[5,1,0,5,2,2,3]
})
```
To create a line plot,
```python
#gca stands for get current axis
ax = plt.gca()

#the ax parameter lets you use the same axis for multiple lines
df.plot(kind='line',x='name',y='num_children',ax=ax)
df.plot(kind='line',x='name',y='num_pets', color='red', ax=ax)

plt.show()
```

Matplotlib Line Plot

Using this dataframe,
```python
df = pd.DataFrame({
    'name':['john','mary','peter','jeff','bill','lisa','jose'],
    'age':[23,78,22,19,45,33,20],
    'gender':['M','F','M','M','M','F','M'],
    'state':['california','dc','california','dc','california','texas','texas'],
    'num_children':[2,0,0,3,2,1,4],
    'num_pets':[5,1,0,5,2,2,3]
})
```
To create a histogram of the age column,
```python
#bins sets range for bins
#rwidth is relative width of bars
df[['age']].plot(kind='hist',bins=[0,20,40,60,80,100],rwidth=0.8)
plt.show()
```


Matplotlib Histogram

Using this dataframe,
```python
df = pd.DataFrame({
    'name':['john','mary','peter','jeff','bill','lisa','jose'],
    'age':[23,78,22,19,45,33,20],
    'gender':['M','F','M','M','M','F','M'],
    'state':['california','dc','california','dc','california','texas','texas'],
    'num_children':[2,0,0,3,2,1,4],
    'num_pets':[5,1,0,5,2,2,3]
})
```
To create a grouped bar chart,
```python
#Grouped by state and returns number of unique names for each state
df.groupby('state')['name'].nunique().plot(kind='bar')
plt.show()
```

Matplotlib Grouped Bar Chart

- Scatter
- Bar Chart
- Line Plot
- Histogram
- Grouped Bar Chart

University of Michigan - Ann Arbor

Matplotlib is a Python library used for data visualization. It also uses other Python libraries specifically Numpy and Pandas as well. It is good for basic graphs. It is also similar to MATLAB. For more information, check out the full Matplotlib documentation.

Matplotlib

Pandas Documentation

https://queirozf.com/entries/pandas-dataframe-plot-examples-with-matplotlib-pyplot

Matplotlib and Pandas Examples

https://matplotlib.org/stable/contents.html#

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