Pandas Datetime: Create a plot of distribution of UFO observation time
Pandas Datetime: Exercise-20 with Solution
Write a Pandas program to create a plot of distribution of UFO (unidentified flying object) observation time.
Sample Solution:
Python Code:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv(r'ufo.csv')
df['duration_sec'] = (df['length_of_encounter_seconds'].astype(float))/60
s = df["duration_sec"].quantile(0.95)
temp = df['duration_sec']
temp = temp.sort_values()
temp = temp[temp < s]
plt.figure(figsize=(10, 8))
sns.distplot(temp)
plt.xlabel('Duration(min)', fontsize=20)
plt.ylabel("Frequency", fontsize=15)
plt.xticks(fontsize=12)
plt.title("-Distribution of UFO obervation time-", fontsize=20)
plt.show()
Sample Output:
C:\Users\User\Anaconda3\lib\site-packages\scipy\stats\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval![]()
Python Code Editor:
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Previous: Write a Pandas program to check the empty values of UFO (unidentified flying object) Dataframe.
Next: Write a Pandas program to create a graphical analysis of UFO (unidentified flying object) sighted by month.
What is the difficulty level of this exercise?
Python: Tips of the Day
Builds a list, using an iterator function and an initial seed value:
Example:
def tips_unfold(fn, seed): def fn_generator(val): while True: val = fn(val[1]) if val == False: break yield val[0] return [i for i in fn_generator([None, seed])] f = lambda n: False if n > 50 else [-n, n + 10] print(tips_unfold(f, 10))
Output:
[-10, -20, -30, -40, -50]
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