﻿ Pandas: Create a plot of stock price and trading volume - w3resource

Pandas: Create a plot of stock price and trading volume

Pandas: Plotting Exercise-12 with Solution

Write a Pandas program to create a plot of stock price and trading volume of Alphabet Inc. between two specific dates.

Use the alphabet_stock_data.csv file to extract data.

alphabet_stock_data:

alphabet_stock_data Table

Date Open High Low Close Adj Close Volume
2020-04-01 1122 1129.689941 1097.449951 1105.619995 1105.619995 2343100
2020-04-02 1098.26001 1126.859985 1096.400024 1120.839966 1120.839966 1964900
2020-04-03 1119.015015 1123.540039 1079.810059 1097.880005 1097.880005 2313400
2020-04-06 1138 1194.660034 1130.939941 1186.920044 1186.920044 2664700
... ... ... ... ... ... ...
... ... ... ... ... ... ...
2020-09-29 1470.390015 1476.662964 1458.805054 1469.329956 1469.329956 978200
2020-09-30 1466.800049 1489.75 1459.880005 1469.599976 1469.599976 1700600

Sample Solution:

Python Code :

``````import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("alphabet_stock_data.csv")
start_date = pd.to_datetime('2020-4-1')
end_date = pd.to_datetime('2020-9-30')
df['Date'] = pd.to_datetime(df['Date'])
new_df = (df['Date']>= start_date) & (df['Date']<= end_date)
df1 = df.loc[new_df]
stock_data = df1.set_index('Date')
top_plt = plt.subplot2grid((5,4), (0, 0), rowspan=3, colspan=4)
top_plt.plot(stock_data.index, stock_data["Close"])
plt.title('Historical stock prices of Alphabet Inc. [01-04-2020 to 30-09-2020]')
bottom_plt = plt.subplot2grid((5,4), (3,0), rowspan=1, colspan=4)
bottom_plt.bar(stock_data.index, stock_data['Volume'])
plt.title('\nAlphabet Inc. Trading Volume', y=-0.60)
plt.gcf().set_size_inches(12,8)
``````

Sample Output:

```
```

Click for download alphabet_stock_data.csv

Python Code Editor:

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Python: Tips of the Day

Merging two dicts in Python 3.5+ with a single expression

Example:

```# How to merge two dictionaries
# in Python 3.5+

x = {'p': 1, 'q': 3}
y = {'q': 5, 'r': 8}

z = {**x, **y}

z
{'r': 4, 'p': 1, 'q': 3}

z = dict(x, **y)
print(z)
```

Output:

```{'p': 1, 'q': 5, 'r': 8}
```