benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf da568c46-01ca-553f-9c98-f0c4a5576fde
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import random
import statistics
import matplotlib.pyplot as plt
import numpy as np
# Constants
RANGE = 10000 # The range within which random numbers are generated
SIZE = 1000 # The number of random numbers to generate
BIN_WIDTH = 100 # The width of bins for the histogram
def task_func():
"""
Generates a pandas DataFrame with two columns, "Random Numbers" and "Moving Average,"
filled with random integers and their moving average, respectively.
Additionally, this function plots a histogram of the "Random Numbers" column.
No Parameters.
Returns:
pd.DataFrame: A DataFrame with two columns:
- "Random Numbers": Contains a list of randomly generated integers.
- "Moving Average": Contains the moving average of the random integers,
calculated over a window that includes the current
and previous 5 integers.
Requirements:
- pandas
- random
- statistics
- matplotlib.pyplot
- numpy
Example:
>>> df = task_func()
>>> isinstance(df, pd.DataFrame)
True
>>> 'Random Numbers' in df.columns and 'Moving Average' in df.columns
True
>>> len(df)
1000
>>> all(df['Random Numbers'].between(0, RANGE))
True
"""
instruct prompt
Generates a pandas DataFrame with two columns, "Random Numbers" and "Moving Average," filled with random integers and their moving average, respectively. Additionally, this function plots a histogram of the "Random Numbers" column. No Parameters.
The function should output with:
pd.DataFrame: A DataFrame with two columns:
"Random Numbers": Contains a list of randomly generated integers.
"Moving Average": Contains the moving average of the random integers,
calculated over a window that includes the current
and previous 5 integers.
You should write self-contained code starting with:
Code
import pandas as pd
import random
import statistics
import matplotlib.pyplot as plt
import numpy as np
# Constants
RANGE = 10000 # The range within which random numbers are generated
SIZE = 1000 # The number of random numbers to generate
BIN_WIDTH = 100 # The width of bins for the histogram
def task_func():
code prompt
Code
import pandas as pd
import random
import statistics
import matplotlib.pyplot as plt
import numpy as np
# Constants
RANGE = 10000 # The range within which random numbers are generated
SIZE = 1000 # The number of random numbers to generate
BIN_WIDTH = 100 # The width of bins for the histogram
def task_func():
entry point
task_func
libs
- statistics
- pandas
- matplotlib
- numpy
- random
Discussion
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See answer Answer published by the source
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Source and history
- task_id
da568c46-01ca-553f-9c98-f0c4a5576fde- task_key
default--v0~2e1~2e0~5fhf--da568c46-01ca-553f-9c98-f0c4a5576fde- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import