TLDR: The photos WERE being overwritten, but the date was kept the same as the original file, due to a quirk of windows when a folder has lots of photos. Jon’s answer from 10/2/2015 did the trick for me. https://superuser.com/questions/147525/what-is-the-date-column-in-windows-7-explorer-it-matches-no-date-column-from/335901#335901 Basically windows detects lots of pictures in a folder and “optimizes” said folder for pictures. … Read more
You can do it by changing your plotting line like this df.letters.value_counts().sort_values().plot(kind = ‘barh’)
import pdb; pdb.set_trace() See Python: Coding in the Debugger for Beginners for this and more helpful hints.
I couldn’t get your code to work, but hopefully this will help: import matplotlib import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) rect1 = matplotlib.patches.Rectangle((-200,-100), 400, 200, color=”yellow”) rect2 = matplotlib.patches.Rectangle((0,150), 300, 20, color=”red”) rect3 = matplotlib.patches.Rectangle((-300,-50), 40, 200, color=”#0099FF”) circle1 = matplotlib.patches.Circle((-200,-250), radius=90, color=”#EB70AA”) ax.add_patch(rect1) ax.add_patch(rect2) ax.add_patch(rect3) ax.add_patch(circle1) plt.xlim([-400, 400]) plt.ylim([-400, 400]) … Read more
Logging on Heroku from Django can be tricky at first, but it’s actually not that horrible to get set up. This following logging definition (goes into your settings file) defined two formatters. The verbose one matches the logging format Heroku itself uses. It also defines two handlers, a null handler (shouldn’t need to be used) … Read more
The closest match in C++ would be an std::unordered_map<int, int>. This is a hash table mapping int keys to int values. #include <unordered_map> std::unordered_map<int, int> RANKS = { { 4, 3 }, { 0, 2 }, { 2, 2 }, { 6, 2 }, { 8, 2 }, { 1, 1 }, { 3, 1 … Read more
You’re probably looking for the s command: it s-teps into the next function. While in debugging mode, you can see all available commands using h (help). See also the docs.
Another possibility is to just round to the nearest desirable tolerance: np.unique(a.round(decimals=4)) where a is your original array. Edit: Just to note that my solution and @unutbu’s are nearly identical speed-wise (mine is maybe 5% faster) according to my timings, so either is a good solution. Edit #2: This is meant to address Paul’s concern. … Read more
Any number that can’t be built from exact powers of two can’t be represented exactly as a floating point number; it needs to be approximated. Sometimes the closest approximation will be less than the actual number. Read What Every Computer Scientist Should Know About Floating-Point Arithmetic.