python
/
Python101
mirror of https://github.com/Python-Crash-Course/Python101
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Adjust comments where code is to be filled in 

To make it more clear
pull/14/head
Tim Skov Jacobsen 2020-02-18 17:03:34 +01:00
parent 2be7201e69
commit d825aec450
1 changed files with 11 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
Session 6 - Practical_Exercise/Session 6 - Exercise.ipynb
View File

@ -77,14 +77,14 @@
"file_name = 'shear_keys_base_slab_v20.txt'\n",
"\n",
"# Read dataset from text file into dataframe, save it as `df`\n",
" # <Code here!>\n",
"# <Code here!>\n",
"\n",
"# Extract version number from file name as 'vXX'\n",
"# (assume the last 6 characters will always be '...vXX.txt')\n",
" # <Code here!>\n",
"# <Code here!>\n",
"\n",
"# Print the head of the dataframe to check it\n",
" # <Code here!>\n",
"# <Code here!>\n",
"\n",
"# Construct a dictionary that maps load case numbers to titles (dict auto removes duplicates)\n",
"lc_no_to_title_map = dict(zip(df['LC'], df['LC-title'])) \n",
@ -96,19 +96,19 @@
" for lc in df['LC'].unique():\n",
"\n",
" # Get title of current load case from mapping dictionary\n",
" # <Code here!> (see hint 1 below)\n",
" # <Code here!> (see hint 1 below)\n",
" \n",
" # Filter dataframe based on load case and element numbers in shear key\n",
" # <Code here!> (see hint 2 below)\n",
" # <Code here!> (see hint 2 below)\n",
" \n",
" # Create figure\n",
" # <Code here!> \n",
" # <Code here!> \n",
" \n",
" # Create x-values for plot as numbers running from 1 to length of y-values\n",
" # <Code here!> \n",
" # <Code here!> \n",
" \n",
" # Create y-values for plot as shear forces vx\n",
" # <Code here!> \n",
" # <Code here!> \n",
" \n",
" # Extract indices where y-values are negative and positive, respectively\n",
" idx_neg = np.where(y<0)\n",
@ -120,16 +120,14 @@
" # Extract y-values where y-values are negative and positive, respectively\n",
" y_neg, y_pos = np.take(y, idx_neg)[0], np.take(y, idx_pos)[0]\n",
" \n",
" # <Code here!> \n",
" \n",
" # Fill between y=0 and the lines where y-values are negative and positive, respectively \n",
" # <Code here!> \n",
" # <Code here!> \n",
" \n",
" # Set titles and x- and y-labels\n",
" # <Code here!> \n",
" # <Code here!> \n",
" \n",
" # Save figure to png-file with meaningful name that varies in every loop\n",
" # <Code here!>\n",
" # <Code here!>\n",
"~~~\n",
"---\n",
"### The hints below refer to the comments in the code above.\n",