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import pandas as pd
from datetime import timedelta
from urllib.parse import urlencode


def birthquakes(birthday:str) -> pd.DataFrame:
    """
    Make a DataFrame of earthquakes on a given day.
    
    Example: birthquake("1971-05-26")

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import numpy as np

# Make some fake data
# Make array with 100 rows, 100 columns, and 6 'features' (different maps)
shape = (100, 100, 3)
data = np.random.random(shape)

# Pretend it has NaNs around edge.
data[:10] = np.nan
data[-10:] = np.nan

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import numpy as np
from scipy.ndimage import generic_filter


def rms_1d(trace_segment):
    """
    This function runs on every piece of `size` defined in the
    generic_filter, below. It returns a single value.
    """
    return np.sqrt(np.sum(trace_segment**2)/trace_segment.size)

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#!/usr/bin/env python
#-*- coding: utf-8 -*-
"""
Author: Matt Hall, Agile Scientific
Licence: Apache 2.0, please re-use this code!

To use the CLI type this on the command line:
    python polarity_cartoon.py --help
   
There is a web app running at agile.geosci.ai/polarity

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import numpy as np
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt


def wiggle_2d(data,
              time,
              ax=None,
              skip=1,
              perc=99.0,

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import pandas as pd
import mplstereonet as mpl

# Load the data.
df = pd.read_csv("https://raw.githubusercontent.com/ICWallis/fractoolbox/master/testdata-fractures.csv")

# Create a stereonet with grid lines.
fig, ax = mpl.subplots(figsize=(9, 6))
ax.grid(color='k', alpha=0.2)

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#!/usr/bin/gawk -f
#
# This file makes 8-bit RGB images from 3 logs
# The output is PLAIN (not RAW) PPM
# You need an LAS file containing only these logs
# Then run this script on that LAS file
# The Height should be set to the number of samples in the logs
#
# Set up the PGM Plain File format header
BEGIN {