AttributeError: 'DataFrame' object has no attribute 'append'.

[bezborodow]

It appears that DataFrame.append has been deprecated in pandas version 2.0.

Version:

  Downloading pandas-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)

Traceback:

Traceback (most recent call last):
  File "/home/dbezborodov/src/cpm-python/main.py", line 30, in <module>
    data = data.append(df)
           ^^^^^^^^^^^
  File "/home/dbezborodov/src/cpm-python/venv/lib64/python3.11/site-packages/pandas/core/generic.py", line 5989, in __getattr__
    return object.__getattribute__(self, name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?

[bezborodow]

After downgrading, the following message appears:

/home/dbezborodov/src/cpm-python/main.py:30: FutureWarning: The frame.append method is
deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

[joloevaa]

My solution to this issue was:
import numpy as np
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
#import pygraphviz

for q in range(1, 10):
start = []
graph = []
atts = []
path = []
new = []
st = ""
data = pd.read_csv(f"data/data{q}.csv")
last = data.iloc[-1, 0]
last = chr(ord(last) + 1)

for j in range(len(data)):
    for k in range(len(data.iloc[j, 1])):
        if data.iloc[j, 1][k] != '-':
            new.append(data.iloc[j, 1][k])

for j in range(len(data)):
    if not data.iloc[j, 0] in new:
        st = st + data.iloc[j, 0]

if data.shape[1] == 3:
    df = pd.DataFrame([[last, st, 0]], columns=["ac", "pr", "du"])
else:
    df = pd.DataFrame([[last, st, 0, 0, 0]], columns=["ac", "pr", "b", "m", "a"])

# Using pd.concat for appending new DataFrame rows
data = pd.concat([data, df], ignore_index=True)

for i in range(len(data)):
    graph.append([])
    atts.append({})

for j in range(len(data)):
    atts[j]["Name"] = data.iloc[j, 0]
    if data.shape[1] == 3:
        atts[j]["DU"] = data.iloc[j, 2]
    else:
        atts[j]["DU"] = (data.iloc[j, 4] + 4 * data.iloc[j, 3] + data.iloc[j, 2]) / 6
    if data.iloc[j, 1] == "-":
        start.append(ord(data.iloc[j, 0]) - 65)
        continue
    for k in range(len(data.iloc[j, 1])):
        graph[ord(data.iloc[j, 1][k]) - 65].append(ord(data.iloc[j, 0]) - 65)

level = [None] * len(graph)


def BFS(s, graph):
    visited = [False] * len(graph)
    queue = []
    for i in s:
        queue.append(i)
        level[i] = 0
        visited[i] = True
    while queue:
        s = queue.pop(0)
        path.append(s)
        for i in graph[s]:
            if not visited[i]:
                queue.append(i)
                level[i] = level[s] + 1
                visited[i] = True
            else:
                level[i] = max(level[s] + 1, level[i])


BFS(start, graph)

levels = [None] * len(path)
for i in range(len(path)):
    levels[i] = level[path[i]]
path = [x for y, x in sorted(zip(levels, path))]
print("\nPath")
for i in path:
    print(chr(i + 65), end=' ')

for s in path:
    if data.iloc[s, 1] == "-":
        atts[s]["ES"] = 0
    else:
        ls = [atts[ord(data.iloc[s, 1][k]) - 65]["EF"] for k in range(len(data.iloc[s, 1]))]
        atts[s]["ES"] = max(ls)
    atts[s]["EF"] = atts[s]["DU"] + atts[s]["ES"]

for i in range(len(graph)):
    if not graph[i]:
        atts[i]["LF"] = atts[i]["EF"]
        atts[i]["LS"] = atts[i]["ES"]

print("\n------------------------")
path.reverse()
for i in path:
    if data.iloc[i, 1] != "-":
        for k in range(len(data.iloc[i, 1])):
            if "LF" in atts[ord(data.iloc[i, 1][k]) - 65].keys():
                atts[ord(data.iloc[i, 1][k]) - 65]["LF"] = min(atts[i]["LS"],
                                                               atts[ord(data.iloc[i, 1][k]) - 65]["LF"])
            else:
                atts[ord(data.iloc[i, 1][k]) - 65]["LF"] = atts[i]["LS"]
            atts[ord(data.iloc[i, 1][k]) - 65]["LS"] = atts[ord(data.iloc[i, 1][k]) - 65]["LF"] - \
                                                       atts[ord(data.iloc[i, 1][k]) - 65]["DU"]
    atts[i]["SK"] = atts[i]["LF"] - atts[i]["EF"]

atts[-1]["Name"] = "End"
for j in range(len(graph)):
    print(atts[j])

G2 = nx.DiGraph()
for i in range(len(graph)):
    for j in graph[i]:
        G2.add_edge(atts[i]["Name"], atts[j]["Name"])
temp = dict(zip([atts[i]["Name"] for i in range(len(atts))], atts))
nx.set_node_attributes(G2, temp)
fig, ax = plt.subplots(figsize=(15, 15))
#pos = nx.nx_agraph.graphviz_layout(G2, prog='dot')
pos = nx.spring_layout(G2)
nx.draw_networkx_edges(G2, pos, edge_color='olive', width=1, arrowstyle='simple', arrowsize=20,
                       min_source_margin=25, min_target_margin=25)
crt = [j for j, i in temp.items() if i["LF"] == i["EF"]]
notcrt = [j for j, i in temp.items() if i["LF"] != i["EF"]]
nx.draw_networkx_nodes(G2, pos, node_size=2000, node_color='seagreen', ax=ax, nodelist=crt)
nx.draw_networkx_nodes(G2, pos, node_size=1000, node_color='wheat', ax=ax, nodelist=notcrt)
nx.draw_networkx_labels(G2, pos, ax=ax, font_weight="bold", font_color="black", font_size=16)


def without(d, keys={"Name"}):
    return {x: d[x] for x in d if x not in keys}


for node in G2.nodes:
    xy = pos[node]
    d = without(G2.nodes[node])
    text = '\n'.join(f'{k}: {v}' for k, v in d.items())
    ax.annotate(text, xy=xy, xytext=(50, 5), textcoords="offset points",
                bbox=dict(boxstyle="round", fc="lightgrey"), arrowprops=dict(arrowstyle="wedge"))
ax.axis('off')
plt.savefig(f'images/fig{q}.png')

[bezborodow]

https://pandas.pydata.org/pandas-docs/version/1.4/whatsnew/v1.4.0.html#whatsnew-140-deprecations-frame-series-append